/// <summary>
///
/// </summary>
/// <param name="input"></param>
/// <param name="config"></param>
public GenAlgSolver(OptimizationInput input, GenAlgConfig config)
{
if (!config.IsValid())
{
throw new ArgumentException("must not be invalid", "config");
}
this.input = input;
this.config = config;
}
/// <summary>
/// Can be called concurrent.
/// </summary>
/// <param name="parameters"></param>
/// <returns></returns>
static double RunGeneticAlgorithm(double[] parameters)
{
// settings
var timeLimitMilliseconds = 500;
var numberOfRuns = 10;
var maxNumberOfGenerations = long.MaxValue;
// create solver
var(input, _) = DatasetFactory.DatasetGATuning();
var config = new GenAlgConfig(input.NumberOfSantas(), maxNumberOfGenerations, (int)parameters[6], parameters[0], parameters[1], parameters[2], parameters[3], parameters[4], parameters[5]);
var solver = new GenAlgSolver(input, config);
// run numberOfRuns times and return average
return(Enumerable.Range(0, numberOfRuns)
.Select(v => solver.Solve(timeLimitMilliseconds, null, null).Cost())
.Average());
}
public EvolutionOperation(GenAlgConfig config)
{
this.config = config;
this.recombinationOperation = new RecombinationOperation(RandomFactory.Instance, config.OrderBasedCrossoverProbability);
this.mutationOperation = new MutationOperation(RandomFactory.Instance, config.PositionMutationProbability);
}
